Binder M D, Heckman C J, Powers R K
Department of Physiology and Biophysics, University of Washington School of Medicine, Seattle 98195.
Curr Opin Neurobiol. 1993 Dec;3(6):1028-34. doi: 10.1016/0959-4388(93)90177-z.
In theory, there are at least two distinct mechanisms by which afferent inputs could alter motoneuron discharge and shape the output of a motoneuron pool: either by delivering synaptic current to the motoneurons' somata ('classic' synaptic transduction); or by altering the motoneurons' voltage-sensitive conductances (neuromodulation). Recent work has confirmed the operation of both of these mechanisms. It has been shown that the effect of a 'classic' synaptic input on motoneuron firing rate is predicted by the product of the effective synaptic current and the slope of the motoneuron's frequency-current relation. It has also been shown that neuromodulators can alter both the slope of a motoneuron's frequency-current relation and its threshold for repetitive firing. It is argued here, however, that when two or more sources of synaptic input are activated concurrently, the distinction between these two mechanisms is blurred. Computer simulations of motoneuron and motor pool behavior have proved extremely useful in understanding these processes.
理论上,至少有两种不同的机制,通过这些机制传入输入可以改变运动神经元放电并塑造运动神经元池的输出:要么通过向运动神经元的胞体传递突触电流(“经典”突触转导);要么通过改变运动神经元的电压敏感性电导(神经调制)。最近的研究证实了这两种机制的运作。已经表明,“经典”突触输入对运动神经元放电率的影响可以通过有效突触电流与运动神经元频率-电流关系的斜率的乘积来预测。还表明神经调质可以改变运动神经元频率-电流关系的斜率及其重复放电的阈值。然而,这里认为,当两个或更多突触输入源同时被激活时,这两种机制之间的区别就变得模糊了。运动神经元和运动池行为的计算机模拟在理解这些过程中已被证明非常有用。